Low Pass Filter Calculator

Calculate cutoff frequency, attenuation, and phase shift for RC, RL, and LC low pass filters.

Design and analyze low pass filters for electronics applications. Calculate transfer functions, cutoff frequencies, and frequency response characteristics.

Examples

Click on any example to load it into the calculator.

Audio RC Filter

Audio

A simple RC low pass filter for audio applications, removing high-frequency noise.

Filter Type: RC

Input Frequency: 2000 Hz

Cutoff Frequency: 1000 Hz

Resistance: 1000 Ω

Capacitance: 0.000000159 F

Power Supply LC Filter

Power Supply

An LC filter for power supply applications to smooth DC output.

Filter Type: LC

Input Frequency: 120 Hz

Cutoff Frequency: 50 Hz

Capacitance: 0.0001 F

Inductance: 0.01 H

RF RL Filter

RF

An RL filter for radio frequency applications with high-frequency rejection.

Filter Type: RL

Input Frequency: 10000000 Hz

Cutoff Frequency: 5000000 Hz

Resistance: 500 Ω

Inductance: 0.000016 H

Sensor Signal RC Filter

Sensor

A gentle RC filter for sensor signal conditioning and noise reduction.

Filter Type: RC

Input Frequency: 100 Hz

Cutoff Frequency: 10 Hz

Resistance: 10000 Ω

Capacitance: 0.00000159 F

Other Titles
Understanding Low Pass Filters: A Comprehensive Guide
Explore the fundamental principles of low pass filters, their mathematical foundations, and practical applications in electronics and signal processing. This guide covers everything from basic concepts to advanced design considerations.

What is a Low Pass Filter?

  • Basic Definition
  • Frequency Response
  • Types of Low Pass Filters
A low pass filter (LPF) is an electronic circuit that allows signals with frequencies below a certain cutoff frequency to pass through while attenuating (reducing) signals with frequencies above the cutoff. This fundamental building block is essential in electronics, telecommunications, audio processing, and countless other applications where signal conditioning is required.
The Frequency Domain Perspective
In the frequency domain, a low pass filter acts as a frequency-dependent attenuator. At frequencies well below the cutoff frequency, the filter passes signals with minimal attenuation. As the frequency approaches the cutoff frequency, the attenuation increases, and at frequencies well above the cutoff, the signal is significantly reduced. This behavior is characterized by the filter's transfer function, which mathematically describes how the filter responds to different input frequencies.
The Cutoff Frequency: A Critical Parameter
The cutoff frequency (fc) is the frequency at which the filter's output power is reduced to exactly half (-3 dB) of the input power. This is also known as the -3 dB point or half-power frequency. Below this frequency, signals pass through with minimal loss; above it, signals are increasingly attenuated. The cutoff frequency is determined by the filter's component values and topology.
Filter Types and Topologies
Low pass filters can be implemented using various component combinations. RC filters use a resistor and capacitor, RL filters use a resistor and inductor, and LC filters use an inductor and capacitor. Each type has its own characteristics, advantages, and applications. The choice depends on factors such as frequency range, power handling, cost, and physical size constraints.

Key Filter Characteristics:

  • Passband: The frequency range where signals pass with minimal attenuation
  • Stopband: The frequency range where signals are significantly attenuated
  • Transition Band: The frequency range between passband and stopband
  • Roll-off Rate: How quickly the filter attenuates signals above the cutoff frequency

Mathematical Foundations and Transfer Functions

  • Transfer Function Derivation
  • Frequency Response Analysis
  • Phase Characteristics
The mathematical analysis of low pass filters is based on complex frequency analysis and the concept of transfer functions. The transfer function H(f) describes how the filter responds to different input frequencies, providing both magnitude and phase information.
RC Filter Transfer Function
For an RC low pass filter, the transfer function is H(f) = 1/(1 + j2πfRC), where f is the frequency, R is the resistance, and C is the capacitance. The magnitude of this transfer function is |H(f)| = 1/√(1 + (f/fc)²), where fc = 1/(2πRC) is the cutoff frequency. The phase shift is φ = -arctan(f/fc), which approaches -90° at high frequencies.
RL Filter Transfer Function
For an RL low pass filter, the transfer function is H(f) = 1/(1 + j2πfL/R), where L is the inductance. The magnitude is |H(f)| = 1/√(1 + (f/fc)²), with fc = R/(2πL). The phase characteristics are similar to the RC filter, with a -90° phase shift at high frequencies.
LC Filter Transfer Function
For an LC low pass filter, the transfer function is H(f) = 1/(1 - (2πf)²LC), with a cutoff frequency of fc = 1/(2π√(LC)). LC filters can provide sharper roll-off characteristics than RC or RL filters, but they are more complex and can exhibit resonance effects.
Attenuation and Decibels
Attenuation is typically expressed in decibels (dB), calculated as A = 20log₁₀|H(f)|. At the cutoff frequency, the attenuation is -3 dB, meaning the output power is half the input power. This logarithmic scale makes it easier to visualize the filter's performance over a wide frequency range.

Mathematical Relationships:

  • Cutoff Frequency: fc = 1/(2πRC) for RC filters, fc = R/(2πL) for RL filters
  • Attenuation: A(f) = 20log₁₀(1/√(1 + (f/fc)²))
  • Phase Shift: φ(f) = -arctan(f/fc)
  • Quality Factor: Q = fc/Δf for bandpass characteristics

Step-by-Step Guide to Using the Calculator

  • Component Selection
  • Parameter Input
  • Result Interpretation
Using the low pass filter calculator effectively requires understanding your application requirements and knowing how to interpret the results. Follow these steps to get the most accurate and useful results.
1. Determine Your Application Requirements
Start by identifying your specific needs. What frequency range are you working with? What level of attenuation do you need in the stopband? Are there size, cost, or power constraints? For audio applications, you might need a gentle roll-off, while for digital signal processing, you might need a sharp cutoff to prevent aliasing.
2. Choose the Appropriate Filter Type
RC filters are simple, inexpensive, and suitable for most low-frequency applications. RL filters are less common but useful in certain power applications. LC filters provide better performance but are more complex and expensive. Consider your frequency range, power requirements, and cost constraints when making this choice.
3. Calculate or Select Component Values
Use the cutoff frequency formula to determine component values, or select standard values and calculate the resulting cutoff frequency. Consider component tolerances and availability. For precision applications, you may need to use high-precision components or adjustable elements.
4. Input Parameters and Analyze Results
Enter your component values and input frequency into the calculator. The results will show you the attenuation, phase shift, and transfer function magnitude at your specified frequency. Use these results to verify that your filter meets your requirements.
5. Iterate and Optimize
If the results don't meet your requirements, adjust component values and recalculate. Consider the trade-offs between different parameters. You might need to balance cutoff frequency, component values, and performance characteristics to find the optimal solution.

Common Application Guidelines:

  • Audio Applications: Cutoff frequency typically 20 Hz - 20 kHz
  • Power Supply Filtering: Cutoff frequency 50-120 Hz for AC ripple
  • Digital Signal Processing: Cutoff frequency below Nyquist frequency
  • RF Applications: Cutoff frequency in MHz to GHz range

Real-World Applications and Design Considerations

  • Audio Processing
  • Power Electronics
  • Communications
  • Sensor Systems
Low pass filters find applications in virtually every field of electronics and signal processing. Understanding these applications helps in designing effective filters for specific use cases.
Audio and Music Applications
In audio systems, low pass filters are used to remove high-frequency noise, prevent aliasing in digital audio, and create special effects. Subwoofer crossovers use low pass filters to direct low-frequency content to the subwoofer. Anti-aliasing filters in analog-to-digital converters prevent high-frequency signals from appearing as lower frequencies in the digital output.
Power Supply and Power Electronics
Power supplies use low pass filters to smooth the output voltage by removing AC ripple from rectified DC. The filter capacitors store energy during the peaks of the AC cycle and release it during the valleys, creating a more stable DC output. The cutoff frequency is typically set well below the AC line frequency (50 or 60 Hz).
Communications and RF Systems
In radio frequency systems, low pass filters are used to remove harmonics and spurious signals, prevent interference, and ensure signal quality. They're essential in transmitters to prevent unwanted emissions and in receivers to prevent strong out-of-band signals from causing distortion.
Sensor and Measurement Systems
Sensor signals often contain noise that can be removed with low pass filters. The cutoff frequency is chosen to preserve the signal bandwidth while removing high-frequency noise. In data acquisition systems, anti-aliasing filters prevent high-frequency noise from corrupting the digitized signal.

Design Considerations:

  • Component Tolerances: Account for variations in component values
  • Temperature Effects: Consider how temperature affects component values
  • Parasitic Elements: Real components have parasitic inductance and capacitance
  • Power Dissipation: Ensure components can handle the power requirements

Advanced Topics and Filter Design

  • Higher Order Filters
  • Active Filters
  • Digital Filters
  • Filter Optimization
Beyond simple RC, RL, and LC filters, there are more sophisticated filter designs that offer improved performance and flexibility.
Higher Order Filters
First-order filters (like simple RC filters) provide a roll-off rate of -20 dB/decade. Higher-order filters can provide much steeper roll-off rates. A second-order filter provides -40 dB/decade, a third-order filter provides -60 dB/decade, and so on. These are typically implemented using multiple stages or more complex topologies.
Active Filters
Active filters use operational amplifiers or other active devices along with passive components. They can provide gain, have high input impedance, and can be easily tuned. Common types include Sallen-Key, Butterworth, Chebyshev, and elliptic filters. Each has different characteristics in terms of passband ripple, stopband attenuation, and phase response.
Digital Filters
Digital filters process discrete-time signals and are implemented in software or digital hardware. They offer precise control over the frequency response, can be easily modified, and don't suffer from component tolerances or aging. Common types include finite impulse response (FIR) and infinite impulse response (IIR) filters.
Filter Optimization
Filter design often involves trade-offs between different performance parameters. You might need to balance passband ripple, stopband attenuation, phase linearity, and implementation complexity. Computer-aided design tools can help optimize these parameters for specific applications.

Filter Performance Metrics:

  • Roll-off Rate: How quickly attenuation increases with frequency
  • Passband Ripple: Variation in gain within the passband
  • Stopband Attenuation: Minimum attenuation in the stopband
  • Group Delay: How phase varies with frequency